Rchr
J-GLOBAL ID：202101004244653870   Update date: Oct. 23, 2024

Kavitha Muthu Subash

カビタ ムトウ スバッュ | Kavitha Muthu Subash
Research field  (4)： Database science ,  Biological, health, and medical informatics ,  Intelligent informatics ,  Computer systems
Research keywords  (1)： Artificial Intelligence, Deep Learning Algorithms, Image processing, Image Analysis and Recognition, Computer-aided Diagnosis, Computer Vision
Research theme for competitive and other funds  (4)：
  • 2024 - 2027 A data-saving and self-supervised deep learning system for continuous ischemic stroke assessment
  • 2023 - 2024 Self Supervised AI model in plant growth analysis.
  • 2022 - Artificial intelligence research in the field of medical and industrial big data, Exchange Program
  • 2018 - 2021 PET image analysis by deep learning for diagnosis of Alzheimer's disease
Papers (67)：
  • Vallidevi Krishnamurthy, Kaviya Sree RM, Muthu Subash, Kavitha, Sonali Agarwal, Tripathi Gyanendra Nath. PATROL’S PAL: Anomaly Face Recognition from Low-Quality CCTV Footage. International Conference on Computer Vision & Image Processing (CVIP). 2024
  • Vallidevi Krishanamurthi, Aleena Bosco Kurumthottam, Shireen Aliza Ali, Paul Danny Anandan, Muthu Subash Kavitha. Smart Expiry Tracker and Product Recommender using Google ML Kit OCR Engine. IEEE International Conference on Computational Intelligence and Network Systems (CINS) 2024. 2024
  • Brindha Subburaj, J. Uma Maheswari, S. P. Syed Ibrahim, Muthu Subash Kavitha. Population diversity control based differential evolution algorithm using fuzzy system for noisy multi-objective optimization problems. Scientific Reports. 2024. 14. 1
  • Ananthakrishnan Balasundaram, A. B. Abdul Aziz, Aman Gupta, Ayesha Shaik, Muthu Subash Kavitha. A fusion approach using GIS, green area detection, weather API and GPT for satellite image based fertile land discovery and crop suitability. Scientific Reports. 2024. 14. 1
  • Ananthakrishnan Balasundaram, Alabhya Sharma, Swaathy Kumaravelan, Ayesha Shaik, Muthu Subash Kavitha. An Improved Normalized Difference Vegetation Index (NDVI) Estimation Using Grounded Dino and Segment Anything Model for Plant Health Classification. IEEE Access. 2024. 12. 75907-75919
ｍore...
MISC (1)：
  • Kavitha MS, Li L, Samopa F, Asano A, Taguchi A. Continuous measurement of the mandibular cortical bone in dental panoramic radiographs for the diagnosis of osteoporosis. Proceedings of IEICE: Topical meeting on Medical Imaging,. 2010. 110. 195. MI2010-53
Patents (4)：
  • Artificial intelligence system for lymph node metastases detection for thyroidectomized papillary thyroid cancer (Granted)
  • Automatic stem cells condition assessment system
  • Computational system and method to identify cancer causing genes, recording medium for performing the method.
  • Apparatus for assisting diagnosis of osteoporosis and program for diagnosis of osteoporosis
Books (1)：
  • The impact of COVID-19 on International Students and the support provided by Nagasaki University: a study based on the results of a Questionnaire survey
    Multicultural Social Research 2022
Lectures and oral presentations  (4)：
  • Artificial Intelligence bridges the gap between human and machine
    (Symposium on Cutting Edge Issues in Spatial Econometrics and Image Processing: Missing data, Casual Inference and Machine learning 2022)
  • Regularizers in convolution neural network improve the medical domain analysis
    (NU-ISI Biomedical Data Science Online Workshop 2022)
  • Enhancing Performance of Deep Networks for Medical Images using Regularizers
    (Workshop on Analytical tools for Image Processing 2022)
  • Desire weight learning with class-variant loss for Imbalanced segmentation
    (Symposium on New Developments in Methodologies and Applications in Data Science and Statistics. 2021)
Education (1)：
  • 2009 - 2012 Ph.D. Graduate School of Engineering, Hiroshima University, Japan Department of Information Engineering
Professional career (1)：
  • Ph.D. in Engineering (Hiroshima University)
Work history (8)：
  • 2024/05 - 現在 School of Information and Data Sciences, Nagasaki University, Japan Associate Professor
  • 2021/04 - 2024/04 School of Information and Data Sciences, Nagasaki University, Japan Assistant Professor
  • 2020/10 - 2021/03 Graduate School of Advanced Science and Engineering, Pattern Recognition and Machine Learning, Hiroshima University, Japan
  • 2020/08 - 2020/09 Graduate School of Advanced Science and Engineering, Pattern Recognition and Machine Learning,Hiroshima University, Japan
  • 2018/08 - 2020/07 Department of Information Engineering, Pattern Recognition and Machine Learning, Hiroshima University, Japan
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Committee career (6)：
  • 2024/06 - 現在 Vellore Institute of Technology, Chennai, India Research Advisory Committee member at center for Cyber Physical Systems
  • 2016/12 - 現在 International Association of Engineers
  • 2022/01 - The Japanese Society for Artificial Intelligence
  • 2022/01 - Information Processing Society of Japan
  • 2021/12 - The Institute of Electronics, Information and Communication Engineers
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Awards (5)：
  • 2018/08 - Hiroshima University JSPS International Fellowship for Research
  • 2017/09 - Kyungpook National University, Brain Korea 21Plus
  • 2017/01 - Hiroshima University JSPS Visiting Researcher
  • 2015/09 - Kyungpook National University, Brain Korea 21 Research Fellowship
  • 2009/04 - Hiroshima University JASSO Doctoral training Grant
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

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